| year | 1990 |
|---|---|
| author | Yoosuk Hong |
| Keyword | Flexible manufacturing system (FMS); Part selection problem; Mathematical programming; Fuzzy set; Linguistic approach; Test-score semantics |
| Abstract | This thesis discusses a part selection problem for a flexible manufacturing environment in which batch production is adopted as its operating policy. The purpose of this research work is to develop a practical solution procedure which takes into account many of the relevant factors and constraints such as resource capacities, due dates, order quantities, and processing times. At first, a mathematical programming formulation, which is expressed as a 0-1 integer linear programming, is presented. Due to the extensive computational efforts to solve the formulation, it seems inappropriate to supply this formulation to the real world problems. As a new practical solution methodology, a fuzzy linguistic approach is proposed, in which test-score semantics based on the theory of fuzzy sets and fuzzy logic is used for determining the part which is most eligible to be selected at each step of the procedure. Two example problems of different sizes are presented and solved by the mathematical programming and the linguistic approach proposed in this thesis. The performance of the approaches is also examined. |
| c | MS |
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